Question: Model Summary Adjusted R Std. Error of Model R R Square Square the Estimate 1 .729 532 498 258.33093 a. Predictors: (Constant), UnHappy, GNP ANOVA

Model Summary Adjusted R Std. Error of Model R R Square Square the Estimate 1 .729 532 498 258.33093 a. Predictors: (Constant), UnHappy, GNP ANOVA Sum of Model Squares df Mean Square F Sig. Regression 2122235.038 2 1061117.519 15.900 .001 Residual 1868576.317 28 66734.868 Total 3990811.355 30 a. Dependent Variable: Sales b. Predictors: (Constant), UnHappy, GNP Coefficients Standardized Unstandardized Coefficients Coefficients Model B Std. Error Beta Sig. (Constant) 1340.641 204.582 6.553 000 GNP 335 .060 726 5.611 000 UnHappy -56.680 110.974 -.066 -.511 .614 a. Dependent Variable: Sales Above is output from a linear regression. The dependent variable is the number of cars sold (Sales). The independent variables are: GNP and a 0/1 variable for whether the country was in an unhappy mood (UnHappy=1 when country is unhappy. 0 when country is happy). Using alpha = 1%, is the model significant as a whole? O No O Cannot determine from the above information O Yes

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